def parseBed2Json(bedfile):
# test if the file exitst
try:
# try resolve path and get the absolute path
my_abs_path_file = Path(bedfile).resolve()
###### Open bed file and parse to json #####
jsonData = []
# open bed file
infile = open(bedfile, 'r').readlines()
# read header
header = infile.pop(0).strip('\n').split("\t")
for line in infile:
# get row and convert to array
data = line.strip('\n').split("\t")
# test if the row is complete and have the same size as the header
if len(data) == len(header):
datadict = {}
# iterate over my bedfile row
for i, element in enumerate(data):
datadict[header[i]] = element
# push into array the dictionary structure
jsonData.append(datadict)
######## write into file the json structure
# bed filename (without path)
filename = PurePosixPath(my_abs_path_file).name
# json file name
jsonFile = filename + ".json"
# test if file ends with .bed
if filename.endswith('.bed'):
jsonFile = filename.split(".bed")[0] + ".json"
with open(jsonFile, 'w') as outfile:
json.dump(jsonData, outfile, indent=4)
outfile.close()
except FileNotFoundError:
print("your file does not exist")
from pathlib import PurePosixPath
tag_path = 'apriltag-imgs/tag36h11/'
tag_pattern = 'tag36_11_*.png'
#tag_pattern = 'tag36_11_00000.png'
resized_tags_folder = 'tag36h11_big/'
ouput_folder = 'output/'
pathlist = Path(tag_path).rglob(tag_pattern)
for img_path in pathlist:
# because path is object not string
img_fn = str(img_path)
bfn = PurePosixPath(img_fn).stem
tagid = bfn.split('_')[2]
# don't create resized image if already exists
r_img_path = Path(resized_tags_folder + bfn + '.jpg')
if (r_img_path.exists() == False):
# load image
img = cv2.imread(img_fn,0)
# crop border
crop_img = img[1:1+8, 1:1+8]
# resize to something really big
r_img = cv2.resize(crop_img,(2000,2000),fx=0, fy=0, interpolation = cv2.INTER_NEAREST)
cv2.imwrite(str(r_img_path),r_img)
